Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)

An Optimization Method for Reliable Cloud Service Composition with Low Resource Occupancy

Authors
Yan Yang, Huaxiong Yao, Sai Wang
Corresponding Author
Yan Yang
Available Online January 2018.
DOI
10.2991/macmc-17.2018.139How to use a DOI?
Keywords
service composition; optimization; cloud service
Abstract

In this paper, we investigate the optimization problem of cloud service composition in cloud environment. First, the performance indexes for the optimization of cloud service composition is introduced. Then we propose an optimization method of cloud service composition, and establish a constrained multi-objective model for the optimization problem of cloud service composition which requires high reliability and low CPU and bandwidth occupancy. After that, a travel planning scenario is used to illustrate our approach to cloud service composition optimization. The case study shows the proposed method can effectively solve the problem of cloud service composition with high reliability and low resource consumption in cloud computing environment.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
Series
Advances in Engineering Research
Publication Date
January 2018
ISBN
978-94-6252-439-2
ISSN
2352-5401
DOI
10.2991/macmc-17.2018.139How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yan Yang
AU  - Huaxiong Yao
AU  - Sai Wang
PY  - 2018/01
DA  - 2018/01
TI  - An Optimization Method for Reliable Cloud Service Composition with Low Resource Occupancy
BT  - Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
PB  - Atlantis Press
SP  - 735
EP  - 740
SN  - 2352-5401
UR  - https://doi.org/10.2991/macmc-17.2018.139
DO  - 10.2991/macmc-17.2018.139
ID  - Yang2018/01
ER  -